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September 13, 2025, 07:33:10 am

Author Topic: Uni Maths Questions  (Read 34769 times)  Share 

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vcestudent94

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Re: Uni Maths Questions
« Reply #15 on: March 27, 2013, 10:32:31 pm »
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Thanks for the method guys...
For the second step, its unintuitive to me how you can just chuck the e^(4t) into the Re(...) ?

Jeggz

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Re: Uni Maths Questions
« Reply #16 on: March 27, 2013, 10:35:57 pm »
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I think you just have to commit these two into memory.
1.
2.
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vcestudent94

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Re: Uni Maths Questions
« Reply #17 on: March 27, 2013, 10:45:54 pm »
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I get it now. I just needed to stare for a while because I've never come across that technique before. Thanks for the help!

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Re: Uni Maths Questions
« Reply #18 on: March 27, 2013, 10:55:09 pm »
+3
If it makes it easier to remember, you know that

Now how would we get out of that? We would take the real part of ,
How would we get out of that? We would take the imagainary part of ,
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Re: Uni Maths Questions
« Reply #19 on: March 27, 2013, 11:44:40 pm »
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Thanks for the method guys...
For the second step, its unintuitive to me how you can just chuck the e^(4t) into the Re(...) ?

Consider two complex numbers, , where (its imaginary component is zero)

Then, multiplication by works like a 'scalar' multiplication for vectors: , .
A similar technique applies if .
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Jeggz

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Re: Uni Maths Questions
« Reply #20 on: April 13, 2013, 09:25:45 pm »
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Can someone please explain when and why it is okay to interchange columns/rows in row reduction?
And also I would really appreciate some help reducing the matrix below to find the inverse (it's meant to have the identity matrix next to it, if that makes sense) - i keep going around and round in circles  :-\ Thanks in advance!!

2   1   -1
3   -1   1
-1   0   2
« Last Edit: April 13, 2013, 09:35:26 pm by Jeggz »
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Re: Uni Maths Questions
« Reply #21 on: April 13, 2013, 10:44:12 pm »
+5
The way I justify it is that, what row reduction normally leads into is solving systems of linear equations. Since our rows are representing the coefficients of variables in a linear equation, if we swap two rows, we are not changing the system of equations. e.g. would correspond to the same system of equations as the matrix , that is by swapping rows, we haven't changed the solution set.

As to finding the inverse matrix, we try to make the left into the identity matrix, leaving the right as the inverse matrix.


Firstly we can swap rows 1 and 3, so that we get a nice 1 in our 1,1 entry.

Now we want to form a pivot in the 2,2 entry, so to do this we need to clear the 2,1 entry out, so we can take a multiple of row 1 from row 2 to do this. We can also clear out the 3,1 entry by taking away a mutiple of row 1 from row 3.

Next we need to clear out the 3,2 entry to make the lower triangle of the matrix be all zeros. We can clear out this entry by taking away a mutiple of row 2 from row 3.

Next we need to start working back upwards, to clear out the top right triangle, forming the identity matrix. So we first start by working on the entry 2,3. If we take a mutiple of row one away, we will affect our zeros we formed, but if we are to take a mutiple of row 3 away from row 2, then we will preserve these zeros, and be able to form another zero.

Now we work on the 1,3 entry. We can add a mutiple of row three away from row one without affecting our other zeros.

Now normally we wouldn't be finished yet, but since our 1,2 entry is what we want it to be, we have formed the identity matrix, so the matrix on the right is our inverse matrix. If we did need to work on the 1,2 entry, then we could take a mutiple of row 2 away from row 1 without affecting the other zeros.


Wow, that turned into a long post, anyways, hope that makes sense and hope it helps :)
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Jeggz

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Re: Uni Maths Questions
« Reply #22 on: April 14, 2013, 08:56:19 am »
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You are a legend b^3! Thankyouu  :)
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Re: Uni Maths Questions
« Reply #23 on: April 15, 2013, 08:06:58 pm »
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Which one of the following is a vector space and could you explain me why?

The set of all (real) polynomials with positive coefficients.

The set of all (real valued) continuous functions with the property that the function is 0 at every integer (eg. f(x)=sin(pi*x)).

Thank you

kamil9876

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Re: Uni Maths Questions
« Reply #24 on: April 15, 2013, 08:18:40 pm »
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I'm assuming you are asking whether they are vector spaces over with the obvious operations?

For polynomials with positive coefficients: No. It isn't closed under scalar multiplication. E.g is in your supposed vector space, but is not.

The continous functions which vanish at the integers form a vector subspace of the vector space of all real valued continous functions (I'm assuming you already know this is a vector space?). Here is a proof:

Non-empty: The zero function, it vanishes all real numbers hence in particular at integers too.

Addition: If f,g vanish at the integers then for all integers n we have (f+g)(n)=f(n)+g(n)=0+0=0

Scalar multiplication: if a is a real number and f vanishes on the integers then we have: (af)(n)=af(n)=a.0=0

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Re: Uni Maths Questions
« Reply #25 on: April 15, 2013, 09:20:34 pm »
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Thank you!

Generally, how do we prove that something is closed under addition/multiplication? Like for 2a - 3b + 5c = 0, how do we show that this is a subspace?

kamil9876

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Re: Uni Maths Questions
« Reply #26 on: April 15, 2013, 10:54:13 pm »
+2
So in other words, you want to know how does one show that the set of all (a,b,c) such that 2a-3b+5c=0 is closed under addition? Well let us call it S. Now suppose and are in , we want to show that is in , so let us see if the following is zero:

since and are in . Hence this shows S is closed under addition and a similair argument works for scalar multiplication.

In general notice that this shows that the solution of any system of the form is a subspace of .


Aside: Of course, if you know matrices then this shouldn't also be so surprising, any such equation can be written as Ax=0 for some row matrix A where x is the column vector of x_i's. Then if x=v and x=w are solutions, then by standard matrix properties we have so x=v+w is also a solution
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Re: Uni Maths Questions
« Reply #27 on: April 16, 2013, 08:02:23 pm »
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Thanks! You're a life saver!

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Re: Uni Maths Questions
« Reply #28 on: April 17, 2013, 12:48:32 pm »
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Okay for the following problems, I know how to identify which is a real vector space with the usual operations or wihch is not, but I just don't know how to prove it in writing! Could you help me out? Thank you.

a) Set of real polynomials of any degree

b) Set of real polynomials of degree =< n.

c) Set of real polynomials of degree exactly n.


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Re: Uni Maths Questions
« Reply #29 on: April 18, 2013, 06:57:26 am »
+1
Okay for the following problems, I know how to identify which is a real vector space with the usual operations or wihch is not, but I just don't know how to prove it in writing! Could you help me out? Thank you.

a) Set of real polynomials of any degree

b) Set of real polynomials of degree =< n.

c) Set of real polynomials of degree exactly n.


To prove it in writing: if you think it is a vector space, show that it satisfies the desired properties. For example, if

and

are polynomials of any degree (assuming without loss of generality that ), then

is clearly also a polynomial of some degree.
If, on the other hand, you don't think it's a vector space, simply give an example where a vector space property fails (e.g. when is not in the original space).
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